LlamaParse

LlamaParse

cloud.llamaindex.aiDocument ParsingGitHub CopilotGitHub Copilot
82/ 100
B
Score Breakdown82%

Lost points on 4 checks

  • cost6/10
  • time9/15
  • efficiency0/10
  • zero errors0/5
Eval Score (70% weight)75%
cost$0.14 ($0.10–$0.20, great)+6
time106s (60s–120s, great)+9
efficiency26 tool calls (>25, inefficient)+0
found docsTouched docs at docs.cloud.llamaindex.ai: yes (5 matching tool calls)+10
zero errorsTool outputs with errors/tracebacks: 1+0
syntax validCode compiles/parses correctly+5
created filesGenerated files: 1 (need ≥1)+10
full executionMethod: full_execution, Exit: 0+35
Checklist Score (30% weight)100%
Context7
Link+14
llms.txt
Link+14
MCP Server
Link+14
Typed SDK
Link+14
OpenAPI
Link+14
Agent Skills
Link+14
CLI
Link+14

Checklist determined by AI. If something looks wrong, .

Final Score
A: >=90%B: 75-89%C: 55-74%D: <55%
(75 × 0.7) + (100 × 0.3)= 82%
Replay
Using https://docs.cloud.llamaindex.ai/llamaparse/getting_started, complete the following task:

Using LlamaParse, build me a script that parses this PDF and extracts structured data: https://www.irs.gov/pub/irs-pdf/fw9.pdf

Print the result as JSON with fields: pages (total count), chunks (array of text blocks), tables (array if any found)
parse_w9.py

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Run completed Oct 26, 2026, 6:25 PM